Why decision support fails and how to fix it
ACM SIGMOD Record
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The Jini architecture for network-centric computing
Communications of the ACM
A relational model of data for large shared data banks
Communications of the ACM
SETI@home: an experiment in public-resource computing
Communications of the ACM
Optimizing Queries Across Diverse Data Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Integrating Heterogenous Overlapping Databases through Object-Oriented Transformations
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Mariposa: a wide-area distributed database system
The VLDB Journal — The International Journal on Very Large Data Bases
ObjectGlobe: Ubiquitous query processing on the Internet
The VLDB Journal — The International Journal on Very Large Data Bases
Research in data warehouse modeling and design: dead or alive?
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
Why you should run TPC-DS: a workload analysis
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Data warehouse using parallel processing on a distributed environment
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Experimenting the Query Performance of a Grid-Based Sensor Network Data Warehouse
Globe '08 Proceedings of the 1st international conference on Data Management in Grid and Peer-to-Peer Systems
Proceedings of the VLDB Endowment
Data Transformation Services over Grids with Real-Time Bound Constraints
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
A power consumption analysis of decision support systems
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
Data warehouses in grids with high qos
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
The Journal of Supercomputing
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Grid computing has the potential to drastically change enterprise computing as we know it today. The main concept of grid computing is viewing computing as a utility. It should not matter where data resides, or what computer processes a task. This concept has been applied successfully to academic research. It also has many advantages for commercial data warehouse applications such as virtualization, flexible provisioning, reduced cost due to commodity hardware, high availability and high scale-out. In this paper we show how a large-scale, high-performing and scalable grid-based data warehouse can be implemented using commodity hardware (industry-standard x86-based). Oracle Database 10g and the Linux operating system. We further demonstrate this architecture in a recently published TPC-H benchmark.